This repository consists of four different approaches for generating optical flow and can be demonstrated in Colab.
| Method | Paper |
|---|---|
| FlowNet 2 | FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks |
| Farneback | Two-Frame Motion Estimation Based on Polynomial Expansion |
| Horn-Schunck | Determining Optical Flow |
| Lucas-Kanade | An Iterative Image Registration Technique with an Application to Stereo Vision |
The following optical flow was generated by FlowNet 2.
Use Colab's chrome extension or provide a ipynb URL at http://colab.research.google.com/github/ to open main.ipynb and walkthrough four different approaches.
